MELDATA

Metrics

78,801 Downloads

The Dataverse portal of the International Center for Agricultural Research in Dry Ares (ICARDA) has been set up with the aim of making Findable, Accessible, Interoperable and Reusable (F.A.I.R.) the knowledge produced in research for development frameworks, joined by the Center and its partners. The portal is supported by the CGIAR Research Program on LIVESTOCK, the CGIAR Platform for BIGDATA in Agriculture, and is powered by CODEOBIA and hosted by Amazon Web Services (AWS). You may copy, distribute and transmit the data as long as you acknowledge the source through proper citation as shown below. You may not resale or use the data for any commercial purposes except with written permission from the respective authoring institution(s) and the author(s) concerned. By using the ICARDA Dataverse, the user expressly acknowledges that the data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data.

Citation Requirements

In accordance with scientific standards, all users of these data should make appropriate acknowledgement to the producer of the data as well as the distributor using bibliographic citation. Such citations will appear in footnotes or in the reference section of any such manuscript. The citation should use the citation standard documented in http://thedata.org/citation and as shown on the "Data Citation" section of the cataloguing information page for each dataverse study. ICARDA requests a copy of any material produced based on the data. This includes position papers, scientific reports, and graduate papers in addition to publications. All users of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the cataloguing information.

Disclaimer

While utmost care has been taken by ICARDA and data authors when collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, the authoring institutions be liable for any actual, incidental or consequential damages arising from use of the data.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

581 to 590 of 604 Results

West Asia And Egypt. Change In The Share Of Autumn Precipitation 2010-2040 - Current Climate Sep 30, 2019 - Big Data and ICT De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Omary, Jalal, 2019, "West Asia And Egypt. Change In The Share Of Autumn Precipitation 2010-2040 - Current Climate", https://hdl.handle.net/20.500.11766.1/FK2/ANG4QE, MELDATA, V1 West Asia and Egypt. Change in the share of autumn precipitation 2010-2040 - current climate, GHG scenario A1b, is Baseline data to assist development agencies in planning for adaptation strategies to climate change. Map prepared for the Regional Center for Disaster Risk Reductio...
West Asia And Egypt Annual Mean Precipitation 2010-2040 Sep 30, 2019 - Big Data and ICT De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Omary, Jalal, 2019, "West Asia And Egypt Annual Mean Precipitation 2010-2040", https://hdl.handle.net/20.500.11766.1/FK2/BZXTIF, MELDATA, V1 West Asia and Egypt. Annual mean precipitation 2010-2040 (based on the averaged output of 7 GCM models under Greenhouse Gas Emission Scenario A1b). The data is baseline data to assist development agencies in planning for adaptation strategies to climate change. Map prepared for t...
Balkh Contour Sep 30, 2019 - Big Data and ICT Atassi, Layal; Biradar, Chandrashekhar, 2019, "Balkh Contour", https://hdl.handle.net/20.500.11766.1/FK2/JYWVMY, MELDATA, V1 Balkh contour was generated from digital terrain models (DTM) with 5 m resolution derived from DigitalGlobe imagery assets. The layer covers Balkh watershed. This layer is intended to be used in Afghanistan Electronic Atlas, as one of the surface characterization layers in Afghan...
Takhwsh Contour Sep 30, 2019 - Big Data and ICT Atassi, Layal; Biradar, Chandrashekhar, 2019, "Takhwsh Contour", https://hdl.handle.net/20.500.11766.1/FK2/0SQYTU, MELDATA, V1 Takhwsh contour was generated from digital terrain models (DTM) with 5 m resolution derived from DigitalGlobe imagery assets. The layer covers Takhwsh watershed. This layer is intended to be used in Afghanistan Electronic Atlas, as one of the surface characterization layers in Af...
Balkh Sub Watershed Sep 30, 2019 - Big Data and ICT Atassi, Layal; Biradar, Chandrashekhar, 2019, "Balkh Sub Watershed", https://hdl.handle.net/20.500.11766.1/FK2/50RALF, MELDATA, V1 Balkh Sub watershed was generated from digital terrain models (DTM) with 5 m resolution derived from DigitalGlobe imagery assets. The layer covers Balkh watershed. This layer is intended to be used in the Afghanistan Electronic Atlas, as one of the surface characterization in Afg...
Takhwsh Sub Watershed Sep 30, 2019 - Big Data and ICT Atassi, Layal; Biradar, Chandrashekhar, 2019, "Takhwsh Sub Watershed", https://hdl.handle.net/20.500.11766.1/FK2/IEQMCM, MELDATA, V1 Takhwsh sub watershed was generated from digital terrain models (DTM) with 5 m resolution derived from DigitalGlobe imagery assets. The layer covers Takhwsh watershed. This layer is intended to be used in the Afghanistan Electronic Atlas, as one of the surface characterization in...
Balkh Watershed Aspect Sep 30, 2019 - Big Data and ICT Atassi, Layal; Biradar, Chandrashekhar, 2019, "Balkh Watershed Aspect", https://hdl.handle.net/20.500.11766.1/FK2/2YCRUR, MELDATA, V1 Balkh aspect was generated from digital terrain models (DTM) with 5 m resolution derived from DigitalGlobe imagery assets. The layer covers Balkh watershed. This layer is intended to be used in Afghanistan Electronic Atlas, as one of the surface characterization layers in Afghani...
Balkh Watershed Slope Sep 30, 2019 - Big Data and ICT Atassi, Layal; Biradar, Chandrashekhar, 2019, "Balkh Watershed Slope", https://hdl.handle.net/20.500.11766.1/FK2/EOXOIZ, MELDATA, V1 Balkh slope was generated from digital terrain models (DTM) with 5 m resolution derived from DigitalGlobe imagery assets. The layer covers Balkh watershed. This layer is intended to be used in Afghanistan Electronic Atlas, as one of the surface characterization layers in Afghanis...
Takhwsh Watershed Aspect Sep 30, 2019 - Big Data and ICT Atassi, Layal; Biradar, Chandrashekhar, 2019, "Takhwsh Watershed Aspect", https://hdl.handle.net/20.500.11766.1/FK2/HM04SV, MELDATA, V1 Takhwsh aspect was generated from digital terrain models (DTM) with 5 m resolution derived from DigitalGlobe imagery assets. The layer covers Takhwsh watershed. This layer is intended to be used in Afghanistan Electronic Atlas, as one of the surface characterization layers in Afg...
Takhwsh Watershed Slope Sep 30, 2019 - Big Data and ICT Atassi, Layal; Biradar, Chandrashekhar, 2019, "Takhwsh Watershed Slope", https://hdl.handle.net/20.500.11766.1/FK2/EPF3W1, MELDATA, V1 Takhwsh slope was generated from digital terrain models (DTM) with 5 m resolution derived from DigitalGlobe imagery assets. The layer covers Takhwsh watershed. This layer is intended to be used in Afghanistan Electronic Atlas, as one of the surface characterization layers in Afgh...

West Asia And Egypt. Change In The Share Of Autumn Precipitation 2010-2040 - Current Climate